edu.ucar.opensky::articles:22422 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:38:45.404260 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7n87dsq https://doi.org/10.3334/ORNLDAAC/1328 https Related Dataset #1 Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 3 https://doi.org/10.5065/D6SB44JV https Related Dataset #2 Ensemble gridded (1 km) daily rainfall and temperature for the Hawaiian Islands (1990-2014) https://doi.org/10.3334/ORNLDAAC/1348 https Related Dataset #3 Daymet: Annual Tile Summary Cross-Validation Statistics for North America, Version 3 https://doi.org/10.5065/D6X065VV https Related Dataset #4 Deterministic gridded (250 m) daily rainfall and temperature for the Hawaiian Islands (1990-2014) https://doi.org/10.5065/D6RX99HX https Related Service #1 Cheyenne: SGI ICE XA Cluster Methodological intercomparisons of station-based gridded meteorological products: Utility, limitations, and paths forward 2019-03-01T00:00:00Z publication https://n2t.org/ark:/85065/d7n87dsq https://doi.org/10.1175/JHM-D-18-0114.1 Newman, Andrew J. author Clark, Martyn P. author Longman, R. J. author Giambelluca, T. W. author UCAR/NCAR - Library publisher This study presents a gridded meteorology intercomparison using the State of Hawaii as a testbed. This is motivated by the goal to provide the broad user community with knowledge of interproduct differences and the reasons differences exist. More generally, the challenge of generating station-based gridded meteorological surfaces and the difficulties in attributing interproduct differences to specific methodological decisions are demonstrated. Hawaii is a useful testbed because it is traditionally underserved, yet meteorologically interesting and complex. In addition, several climatological and daily gridded meteorology datasets are now available, which are used extensively by the applications modeling community, thus an intercomparison enhances Hawaiian specific capabilities. We compare PRISM climatology and three daily datasets: new datasets from the University of Hawai'i and the National Center for Atmospheric Research, and Daymet version 3 for precipitation and temperature variables only. General conclusions that have emerged are 1) differences in input station data significantly influence the product differences, 2) explicit prediction of precipitation occurrence is crucial across multiple metrics, and 3) attribution of differences to specific methodological choices is difficult and limits the usefulness of intercomparisons. Because generating gridded meteorological fields is an elaborate process with many methodological choices interacting in complex ways, future work should 1) develop modular frameworks that allows users to easily examine the breadth of methodological choices, 2) collate available nontraditional high-quality observational datasets for true out-of-sample validation and make them publicly available, and 3) define benchmarks of acceptable performance for methodological components and products. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 American Meteorological Society. None eng geoscientificInformation